Init: 导入NaviGlassServer源码

requirements.txt

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+# AI Glass System - Python Dependencies
+# Python 3.9 - 3.11 supported
+
+# Core Web Framework
+fastapi==0.104.1
+uvicorn[standard]==0.24.0
+websockets==12.0
+python-multipart==0.0.6
+starlette==0.27.0
+
+# Computer Vision & Deep Learning
+opencv-python==4.8.1.78
+numpy==1.24.3
+Pillow==10.1.0
+ultralytics==8.3.200
+torch==2.0.1
+torchvision==0.15.2
+
+# MediaPipe (Hand Detection)
+mediapipe==0.10.8
+
+# Audio Processing
+pyaudio==0.2.14
+pydub==0.25.1
+pygame==2.5.2
+
+# Aliyun DashScope SDK (ASR & Qwen-Omni) - 旧管道
+dashscope==1.14.1
+openai==1.3.5  # For DashScope compatibility mode
+
+# Day 21: 新 AI 管道 (SenseVoice + GLM + EdgeTTS)
+# torchaudio 需与 torch 版本匹配，使用以下命令安装：
+# pip install torchaudio==2.0.2+cu118 --index-url https://download.pytorch.org/whl/cu118
+funasr>=1.2.0  # SenseVoice 本地 ASR
+edge-tts>=6.1.0  # 免费 TTS
+
+# Environment & Configuration
+python-dotenv==1.0.0
+
+# Utilities
+opencv-contrib-python==4.8.1.78  # Extended OpenCV modules
+
+# Optional Performance Optimizations
+# Uncomment if needed:
+# onnxruntime-gpu==1.16.3  # For ONNX model acceleration
+# tensorrt==8.6.1  # For TensorRT optimization
+PyTurboJPEG>=1.7.0  # Day 19: 2-3x faster JPEG encode/decode than cv2
+# NOTE: PyTurboJPEG requires system library: sudo apt-get install libturbojpeg (Ubuntu)
+numba>=0.58.0  # Day 20: JIT compilation for multi-core parallel numpy operations
+
+# Development & Testing (Optional)
+# pytest==7.4.3
+# pytest-asyncio==0.21.1
+# black==23.11.0
+# flake8==6.1.0
+
+# Platform-specific dependencies
+# Windows:
+# - PyAudio requires separate installation: https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyaudio
+# Linux:
+# - Install PyAudio dependencies: sudo apt-get install portaudio19-dev python3-pyaudio
+# - Install OpenCV dependencies: sudo apt-get install libgl1-mesa-glx
+# macOS:
+# - Install PyAudio: brew install portaudio && pip install pyaudio
+
+# CUDA Dependencies (GPU acceleration)
+# - CUDA Toolkit 11.8+: https://developer.nvidia.com/cuda-downloads
+# - cuDNN 8.6+: https://developer.nvidia.com/cudnn
+# PyTorch with CUDA support:
+# pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --index-url https://download.pytorch.org/whl/cu118
+